[ Learning ]

Gets smarter over time.

Precognita evolves with your organization. It observes how your teams search, which results they trust, and where knowledge falls behind reality. No manual tuning. The system adapts from behavior.

[ Knowledge Gaps ]

Find what's missing
before it hurts.

Precognita compares what your team searches for against what your knowledge base actually covers. Topics searched frequently but answered poorly get surfaced with suggested owners. You stop discovering missing documentation during an incident and start fixing it proactively.

Knowledge Gap ReportMarch 14–21

“deployment rollback procedure”

Gap

14 searches·2 results·Low relevance

“on-call escalation policy”

Gap

9 searches·1 results·Partial relevance

“staging environment access”

7 searches·3 results·Medium relevance

Suggested: Assign “deployment rollback procedure” to the infra team for documentation.

Content Drift Detected

Documentation contradicts recent activity

The Confluence architecture doc still references PostgreSQL 12, but Jira ticket DB-2847 completed a migration to PostgreSQL 15 three weeks ago.

Documented

PostgreSQL 12

Confluence · Architecture Doc

Last edited 4 months ago

Observed

PostgreSQL 15

Jira · DB-2847 ✓ Done

Completed 3 weeks ago

Suggested: Notify doc owner to update the architecture page.

[ Content Drift ]

Docs that lie
cost more than gaps.

When a Jira ticket completes a migration but the Confluence doc still references the old version, someone will follow the wrong procedure. Precognita cross-references entities across sources and notices when documentation contradicts recent activity. The drift is surfaced with a suggested fix before anyone gets burned.

[ Relevance ]

Your team teaches
the ranking.

Every click, every follow-up query, every source preference is a signal. When your engineers consistently pick the Confluence runbook over the Slack thread, ranking adapts. When ambiguous queries get refined the same way, the system learns the intent. Results improve from how your org actually works.

Relevance Signals

Click-through patternsActive

When engineers consistently pick the Confluence runbook over the Slack thread, the runbook ranks higher for similar queries.

Follow-up refinementActive

If users frequently refine “deploy process” to “deploy rollback”, the system learns the intent behind ambiguous queries.

Source authorityActive

Your team trusts Confluence for process docs but GitHub for technical specs. Ranking adapts to these per-topic preferences.

Zero manual tuning. Rankings evolve from how your org actually works.

Freshness Index

K8s Runbook

Confluence

Edited this week

#eng-infrastructure

Slack

Active daily

Deploy Guide v2

Drive

Last edited 8 months ago

Legacy API Spec

Confluence

No edits in 14 months

Active content is promoted in search results. Stale content is flagged and demoted without manual curation.

[ Freshness ]

Active content rises.
Stale content fades.

The system tracks edit frequency, discussion activity, and reference patterns across every source. Documents that are actively maintained get promoted in search results. Content that hasn't been touched in months gets flagged and demoted. No manual curation required.

[ Keep Reading ]

Explore other features

Find out more about how teams are using Precognita

Knowledge Graph

Six enrichment layers transform raw content into an explorable knowledge graph across every source.

Deep Understanding

Vision models, layout detection, OCR, and audio processing — we understand content the way humans do.

Agents

Turn recurring questions into autonomous agents that monitor, analyze, and deliver insights on a schedule.

Gets smarter over time.

Find what's missing before it hurts.

Docs that lie cost more than gaps.

Your team teaches the ranking.

Active content rises. Stale content fades.